Curating and preparing high-throughput screening data for quantitative structure-activity relationship modeling

10Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Publicly available bioassay data often contains errors. Curating massive bioassay data, especially highthroughput screening (HTS) data, for Quantitative Structure-Activity Relationship (QSAR) modeling requires the assistance of automated data curation tools. Using automated data curation tools are beneficial to users, especially ones without prior computer skills, because many platforms have been developed and optimized based on standardized requirements. As a result, the users do not need to extensively configure the curation tool prior to the application procedure. In this chapter, a freely available automatic tool to curate and prepare HTS data for QSAR modeling purposes will be described.

Cite

CITATION STYLE

APA

Kim, M. T., Wang, W., Sedykh, A., & Zhu, H. (2016). Curating and preparing high-throughput screening data for quantitative structure-activity relationship modeling. Methods in Molecular Biology, 1473, 161–172. https://doi.org/10.1007/978-1-4939-6346-1_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free